Federated Learning Engineer.
Chicago.
$203,000
median salary, 8% above the national average
$151,000 to $268,000. Last updated April 2026.
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Data points to own the conversation.
The median Federated Learning Engineer salary in Chicago is $203,000, 8% above the national average. Entry level starts near $151,000. Experienced professionals push past $268,000. Chicago's economy is anchored by finance, manufacturing, and a rapidly expanding tech sector. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $183,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$132,000
to $162,000
Mid (3-5 yrs)
$173,000
to $213,000
Senior (6-9 yrs)
$223,000
to $264,000
Lead (10+ yrs)
$254,000
to $315,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $60,000 to the total package.
Base
$203,000
Equity
$35,000
Bonus
$21,000
Signing
$4,000
Estimated total: $263,000
How Chicago compares
Chicago, IL
$203,000
Cost of living: 7% above average
National Average
$188,000
Chicago is $15,000 above
Federated Learning Engineer salary by city
Salary by role in Chicago
What you should know
Before you negotiate a Federated Learning Engineer offer in Chicago, understand the terrain. Chicago's economy is anchored by finance, manufacturing, and a rapidly expanding tech sector. The city has become a major hub for fintech, enterprise SaaS, and e-commerce. With lower living costs than coastal cities and a deep talent pool from top universities, Chicago offers strong salary to cost of living ratios for professionals across industries. This privacy-preserving AI specialization commands premiums driven by regulatory demand and technical complexity. Engineers with production federated learning deployments across healthcare, finance, or telecommunications earn 15 to 22% more than general ML engineers. Expertise in secure aggregation protocols, differential privacy mechanisms, and communication-efficient training across distributed nodes significantly increases market value.
ML engineers or privacy engineers earning $115,000 to $155,000 specialize into federated learning at $140,000 to $248,000. Senior federated learning engineers earn $195,000 to $270,000 before advancing to Principal Privacy ML Engineer or Head of Privacy-Preserving AI at $230,000 to $300,000. In Chicago, cost of living sits near the national average, so the numbers you see are roughly what you keep.
Base salary is not the full picture. Total packages range from $220,000 to $420,000 with equity, privacy compliance bonuses, and research incentives of 12 to 22% of base. Healthcare and financial services companies offer the strongest total compensation due to strict data privacy requirements driving federated learning adoption. And on the tax side: illinois has a flat 4.95% state income tax. Chicago does not levy a separate city income tax, making the overall burden moderate compared to coastal metros. When someone quotes you $203,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Reference the Bay Area or NYC salary band for your role, then negotiate a modest discount. Chicago employers routinely offer 85 to 90% of coastal pay. The range for Federated Learning Engineers in Chicago runs from $151,000 to $268,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Applied AI Researcher in Chicago earns $204,000 (0% more)
- The highest-paying role in Chicago is Chief AI Officer at $325,000
Common questions.
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